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PropTech Due Diligence: Using Public Data and Automation to Lower Costs and Improve Transparency

30 October 2026 · CurveBlock · Context: DLUHC
PropTech Due Diligence: Using Public Data and Automation to Lower Costs and Improve Transparency

PropTech solutions increasingly aggregate public records—title plans and ownership from the Land Registry, planning consents and restrictions, Energy Performance Certificates (EPCs), and building safety notices—to provide rapid, standardised checks on properties. Automation reduces manual search costs, supports scalable underwriting of many assets and enables standardised reporting across portfolios. For fractional platforms this can translate into lower operating costs and faster onboarding of assets into pooled structures that retail investors can buy into.

Automated data has limits. Public records can lag, may contain errors or omit material third-party rights; some legal issues require document-level review by conveyancers. PropTech therefore works best as a front-line filter that flags issues for deeper human review. Good practice combines API-driven data checks with manual verification for title chains, restrictive covenants, lease terms and warranty availability. Platforms should also disclose the provenance of automated checks and the extent of human oversight applied to flagged items.

For everyday savers considering fractional digital shares, PropTech-powered due diligence can increase transparency and reduce costs, but it is important to look for platforms that publish what automated checks were run, how exceptions are escalated and whether independent legal and technical reviews were completed before assets are offered to investors.

Reference source: DLUHC

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